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This Dataset provides input data for the development of the B-RAN and attacks models for the NANCY framework, to model training and model inference functions. The data collected plays the role of ML algorithm-specific data preparation. The dataset contains time-series, collected transmitting a video content through the Italtel "VTU - video streaming and transcoding application", that can convert audio and video streams from one format to another, at multiple encodings schemes, changing resolution, bitrate, and video parameters.
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263 Views
This dataset is weekly outpatient records of HFMD in Xiamen, China.
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34 Views
3 different cell-based assays were conducted to characterize the functional activity of samples, providing data regarding the effector function of antibodies induced by RV144 including: gp120-specific antibody dependent cellular phagocytosis (ADCP) by monocytes, antibody dependent cellular cytotoxicity (ADCC) by primary NK cells, and NK cell cytokine release (namely the combination of IFNγ, MIP-1β, and CD107a).
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103 Views
ReSysTDepth collects trajectories of people in indoor spaces. Each trajectory is composed of a sequence of three-dimensional coordinates that capture the center of mass of people moving in the corridor of a building. It is composed of two datasets:
- Real Dataset - real data captured by a depth camera (Microsoft Kinect v2).
- Synthetic dataset - synthetic data generated artificially using splines.
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292 Views
People turn to search engines and social media to seek information during
population-level events, such as during civil unrest, disease outbreaks, fires, or flood.
They also tend to participate in discussions and disseminate information and opinions
via social media forums, and smartphone messaging applications. COVID-19 pandemic
was not any different. However, the proper medical awareness and correct information
dissemination is critical during a pandemic. An unprecedented amount of internet traffic
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629 Views
The dataset corresponds the measurement that was implemented on the control accuracy of a mixed reality application for digital twin based crane.
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354 Views
The S3 dataset contains the behaviour (sensors, statistics of applications, and voice) of 21 volunteers interacting with their smartphones for more than 60 days. The type of users is diverse, males and females in the age range from 18 until 70 have been considered in the dataset generation. The wide range of age is a key aspect, due to the impact of age in terms of smartphone usage. To generate the dataset the volunteers installed a prototype of the smartphone application in on their Android mobile phones.
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2290 Views